https://jaehyeon.me/tags/mabwiser/Recent content in MABWiser on Jaehyeon KimHugo -- gohugo.ioenCopyright © 2023-2026 Jaehyeon Kim. All Rights Reserved.Tue, 27 Jan 2026 00:00:00 +0000https://jaehyeon.me/blog/2026-01-29-prototype-recommender-with-python/Tue, 27 Jan 2026 00:00:00 +0000https://jaehyeon.me/blog/2026-01-29-prototype-recommender-with-python/Overview Traditional recommendation approaches such as Collaborative Filtering remain widely adopted, yet they come with notable constraints. They are particularly vulnerable to the cold-start problem, where new users lack sufficient interaction history, and they depend heavily on long-term behavioral data. As a result, they frequently overlook real-time contextual signals, including time of day, device type, location, or session intent. This can prevent them from capturing situational preferences, such as someone preferring coffee in the morning but pizza in the evening.